//TODO figure out batching for a CNN
public ConvolutionalLayer(ConvolutionalLayerProps props, ActivationFunctions activationFunction, uint batches = 1, bool outputLayer = false)
: base((uint)props.ConvolutionalOutputs, 0, activationFunction, batches, outputLayer)
{
Props = props;
InputSegment = new float[props.InputRows][];
for (int i = 0; i < InputSegment.Length; i++)
{
InputSegment[i] = new float[props.InputCols];
}
FeatureMapProps featureProps = new FeatureMapProps(props);
FeatureMaps = new FeatureMap[props.NumberFeatures];
for (int f = 0; f < FeatureMaps.Length; f++)
{
FeatureMaps[f] = new FeatureMap(featureProps);
}
MaxPoolProps poolProps = new MaxPoolProps(props);
MaxPools = new MaxPool[props.NumberFeatures];
for (int p = 0; p < FeatureMaps.Length; p++)
{
MaxPools[p] = new MaxPool(poolProps);
}
}
public FeatureMap(FeatureMapProps props)
{
Props = props;
Weights = new float[props.NeighborhoodCols * props.neighborhoodRows + 1];
OldWeights = new float[Weights.Length];
Features = new float[props.FeatureRows][];
for (int i = 0; i < Features.Length; i++)
{
Features[i] = new float[props.FeatureCols];
}
}
